SPSS
PRATIK KUMAR
Renewable Energy Engineer /Data Analyst/ML Engineer
Bengaluru,
Summary
I specialize in renewable energy and have skills in ML model building, data analysis, and presentation, including proficiency in Excel, SQL, and Tableau. I excel in trend analysis, forecasting, and communication and possess strong analytical skills with a focus on detail. I am passionate about using data to drive business decisions and delivering high-quality work.
Overview
3
3
years of professional experience
5
5
years of post-secondary education
5
5
Certifications
5
5
Languages
Work History
Data-Driven Approaches for Energy Domain Systems
EIB
Bengaluru
08.2022 - Current
- Used various data-driven energy models, such as neural networks, support vector machines, decision trees, adaboost and random forests to predict the Bottom hole pressure.
- Also developed a ML model for time series data to forecast wind speed.
- Strong understanding of data pre-processing techniques, feature engineering, and model optimization to improve the performance of the models.
- Creation of a Graphic User Interface using Tkinter library.
Data Analytics for Sustainability
MNIT
Jaipur
06.2022 - 07.2023
- Learned GaBi software and implemented for sustainable production of steel clip.
- Learned many MCDM techniques like AHP, TOPSIS, FUZZY, FUZZY-AHP etc.
- Developed practical solutions for difficult situations by utilizing my strong analytical and problem-solving abilities.
SOLAR PV – SIMULATION AND DESIGNING
Vardhan consulting Engineers
Patna
04.2020 - 06.2023
- Simulation and calculation of AEP using PVSyst for a grid-connected 100 kW solar PV project in Noida, U.P.
- Adaptable and proficient in learning new concepts quickly and efficiently.
Vehicle Price Prediction Using ML
Self
08.2022 - 09.2023
- Trained and fine-tuned various machine learning models, such as random forest, decision tree, and support vector machine predict vehicle prices.
Bank Customer Segmentation Analysis: Using Tableau
Self
01.2023 - 01.2023
- Utilized Tableau's data visualization capabilities to create insightful and intuitive dashboards and reports, highlighting key customer segments and trends.
- Identified and analyzed customer distribution patterns on basis of their age,gender, Bank Balance and job classification.
Education
M.Tech. - Renewable Energy
Energy Institute Bengaluru,(a Centre of RGIPT)
08.2021 - Current
B.Tech. - Petroleum Engineering
Nims University
Jaipur 08.2014 - 07.2018
Skills
Python
Software
GaBi
PvSyst
Amos
Jupyter Notebook
VS Code
Certification
Data Analytics and Visualization Virtual Experience
Timeline
Python For Time-series Analysis
02-2023
Bank Customer Segmentation Analysis: Using Tableau
Self
01.2023 - 01.2023
Data-Driven Approaches for Energy Domain Systems
EIB
08.2022 - Current
Vehicle Price Prediction Using ML
Self
08.2022 - 09.2023
Data Analytics for Sustainability
MNIT
06.2022 - 07.2023
M.Tech. - Renewable Energy
Energy Institute Bengaluru,(a Centre of RGIPT)
08.2021 - Current
SOLAR PV – SIMULATION AND DESIGNING
Vardhan consulting Engineers
04.2020 - 06.2023
B.Tech. - Petroleum Engineering
Nims University
08.2014 - 07.2018
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